Diagnostics of allergic diseases in HIV-infected patients using actual computer technologies

Purpose. Development of complex diagnostic methods and assessment of the course of allergic diseases in immunocompromised individuals with HIV infection based on the use of actual computer technologies to improve the quality of diagnostics and treatment measures in these patients.Materials and methods. Methods for calculating the relative increase and average growth rate used to estimate the annual increase in the number of diagnosed cases of allergic diseases in the Novgorod region. During the studying of the comorbidity of HIV and allergy we used information about a burdened allergic history. Additional parameters of the analysis were data, obtained in clinical laboratory. For analysis of the data we used Student’s t test (t) and Pearson’s x². The study used the principle of a diagnostic matrix, which allows transferring medical experience to IT solutions, such as DSS and their variants.Results. In the Novgorod region there has been an increase in the number of diagnosed cases of individual allergic diseases. Over 1020 registered cases of HIV infection among residents of the Novgorod region considered to study the comorbidity of HIV infection and allergies. Information about aggravated allergic anamnesis is indicated in 12% cases. Statistically significant (p<0.012) correlation between high viral load and the development of drug allergy in HIV-infected patients with identified allergic pathology were shown. The indicators of the immune status showing specific markers of allergy in patients with HIV were studied. We developed the clinical decision support system (CDDS), which used to organize medical knowledge and optimize the diagnostics.>˂ 0.012) correlation between high viral load and the development of drug allergy in HIV-infected patients with identified allergic pathology were shown. The indicators of the immune status showing specific markers of allergy in patients with HIV were studied. We developed the clinical decision support system (CDDS), which used to organize medical knowledge and optimize the diagnostics.